What are the hardware requirements for Qwen2.5 Godzilla Coder V2 51B 128K?

Qwen2.5 Godzilla Coder V2 51B 128K requires approximately 102.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Godzilla Coder V2 51B 128K and how large is it?

Qwen2.5 Godzilla Coder V2 51B 128K is developed by DavidAU, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen2.5 Godzilla Coder V2 51B 128K?

Qwen2.5 Godzilla Coder V2 51B 128K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Godzilla Coder V2 51B 128K by DavidAU — VRAM 102.1GB, 128K context

Name: Qwen2.5 Godzilla Coder V2 51B 128K
Author: DavidAU

Qwen2.5 Godzilla Coder V2 51B 128K is an open-source language model by DavidAU. Features: 32b LLM, VRAM: 102.1GB, Context: 128K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.19.

Autotrain compatible Base model:merge:open-r1/olymp... Base model:merge:qwen/qwen2.5-... Base model:open-r1/olympiccode... Base model:qwen/qwen2.5-coder-... Chat Code Code generation Codegen Codeqwen Coder Coding Conversational En Endpoints compatible Merge Moe Qwen Qwen-coder Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen2.5-Godzilla-Coder-V2-51B-128k

Qwen2.5 Godzilla Coder V2 51B 128K Parameters and Internals

LLM Name	Qwen2.5 Godzilla Coder V2 51B 128K
Repository 🤗	https://huggingface.co/DavidAU/Qwen2.5-Godzilla-Coder-V2-51B-128k
Base Model(s)	Qwen/Qwen2.5-Coder-32B OlympicCoder 32B Qwen/Qwen2.5-Coder-32B open-r1/OlympicCoder-32B
Model Size	32b
Required VRAM	102.1 GB
Updated	2025-10-15
Maintainer	DavidAU
Model Type	qwen2
Model Files	5.0 GB: 1-of-21 4.9 GB: 2-of-21 5.0 GB: 3-of-21 4.8 GB: 4-of-21 4.9 GB: 5-of-21 5.0 GB: 6-of-21 4.9 GB: 7-of-21 4.8 GB: 8-of-21 4.9 GB: 9-of-21 5.0 GB: 10-of-21 4.8 GB: 11-of-21 5.0 GB: 12-of-21 4.8 GB: 13-of-21 5.0 GB: 14-of-21 4.8 GB: 15-of-21 5.0 GB: 16-of-21 4.9 GB: 17-of-21 4.9 GB: 18-of-21 4.9 GB: 19-of-21 4.9 GB: 20-of-21 3.9 GB: 21-of-21
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Godzilla Coder V2 51B 128K capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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